class_docstr: This abstract class represents a model to be trained. Rather than relying completely
  on the Pytorch Module, we modify the output spec of ``forward`` to be a dictionary.
  
  Models built using this API are still compatible with other pytorch models and can
  be used naturally as modules within other models - outputs are dictionaries, which
  can be unpacked and passed into other layers. One caveat to this is that if you
  wish to use an AllenNLP model inside a Container (such as nn.Sequential), you must
  interleave the models with a wrapper module which unpacks the dictionary into
  a list of tensors.
  
  In order for your model to be trained using the :class:`~allennlp.training.Trainer`
  api, the output dictionary of your Model must include a "loss" key, which will be
  optimised during the training process.
  
  Finally, you can optionally implement :func:`Model.get_metrics` in order to make use
  of early stopping and best-model serialization based on a validation metric in
  :class:`~allennlp.training.Trainer`. Metrics that begin with "_" will not be logged
  to the progress bar by :class:`~allennlp.training.Trainer`.
docstr: Returns the name of model parameters used for logging histograms to tensorboard.
docstr_tok: ["Returns","the","name","of","model","parameters","used","for","logging","histograms","to","tensorboard","."]
code: def get_parameters_for_histogram_tensorboard_logging(  # pylint: disable=invalid-name
      self,
  ):
      """
      Returns the name of model parameters used for logging histograms to tensorboard.
      """
      return [name for name, _ in self.named_parameters()]
  
imports: from __future__ import with_statement
  from __future__ import absolute_import
  import logging
  import os
  import numpy
  import torch
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.common.registrable import Registrable
  from allennlp.data import Instance, Vocabulary
  from allennlp.data.dataset import Batch
  from allennlp.nn import util
  from allennlp.nn.regularizers import RegularizerApplicator
label_desc: Use image node_id 3 for calling the Model obj's underlying member method code with example usage: obj.get_parameters_for_histogram_tensorboard_logging() and returns: unknown